RUS  ENG
Full version
JOURNALS // Problemy Peredachi Informatsii // Archive

Probl. Peredachi Inf., 2020 Volume 56, Issue 1, Pages 15–25 (Mi ppi2308)

Information Theory

Entropy and compression: a simple proof of an inequality of Khinchin–Ornstein–Shields

R. Aragonaa, F. Marzia, F. Mignosiab, M. Spezialettic

a DISIM, University of L'Aquila, Coppito, L'Aquila, Italy
b ICAR-CNR, Palermo, Italy
c University of Naples “Federico II,” Napoli, Italy

Abstract: This paper concerns the folklore statement that “entropy is a lower bound for compression.” More precisely, we derive from the entropy theorem a simple proof of a pointwise inequality first stated by Ornstein and Shields and which is the almost-sure version of an average inequality first stated by Khinchin in 1953. We further give an elementary proof of the original Khinchin inequality, which can be used as an exercise for information theory students, and we conclude by giving historical and technical notes of such inequality.

Keywords: ergodic sources, entropy, lossless data compression, one-to-one code sequence, Shannon–McMillan theorem.

UDC: 621.391.1 : 519.72

Received: 12.12.2019
Revised: 08.01.2020
Accepted: 15.01.2020

DOI: 10.31857/S0555292320010027


 English version:
Problems of Information Transmission, 2020, 56:1, 13–22

Bibliographic databases:


© Steklov Math. Inst. of RAS, 2024